Triple

T19622636
Position Surface form Disambiguated ID Type / Status
Subject RDVV E471049 entity
Predicate shortName P43 FINISHED
Object RDVV NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: RDVV | Statement: [RDVV, shortName, RDVV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RDVV
Context triple: [RDVV, shortName, RDVV]
  • A. RDVV chosen
    RDVV is a public state university in Jabalpur, Madhya Pradesh, India, named after Queen Rani Durgavati and offering a wide range of undergraduate and postgraduate programs.
  • B. RVD
    RVD is the ring name of Rob Van Dam, a high-flying, innovative professional wrestler best known for his time in ECW and WWE.
  • C. RVD
    RVD is the Dutch government's information service responsible for public communication and media relations, particularly concerning the Royal House and central government.
  • D. VRR
    VRR is a geologically distinct, hematite-rich ridge on Mars explored by NASA’s Curiosity rover as a key site for studying the planet’s past environmental conditions.
  • E. VRR
    VRR is the public transport association that coordinates and manages the integrated ticketing and fare system for much of the Rhine-Ruhr metropolitan region in Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e7949081908a89414ef899fa20 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.